Teams at Viaduct

Leads customer engagements and large-scale analytics projects from inception through delivery, ensuring measurable business value, quality, budgets, and timelines. Builds customer relationships, translates needs into analytics solutions, supports renewals and expansions, and coordinates with product, engineering, and data science teams. Also supports solution architecture, pre-sales demonstrations, proof-of-concept implementations, technical use-case development, and customer conferences. Presents complex insights to technical and nontechnical stakeholders.

Build and maintain backend services, web and mobile applications, developer tooling, and microservices deployed through Kubernetes. Design software architectures, estimate feature work, implement monitoring and CI, and collaborate with product and design teams to deliver accessible customer-facing interfaces. The role also involves mentoring or technical leadership, security-conscious development, and supporting services from development through production monitoring.

Build and support batch, incremental, and real-time ETL pipelines for connected vehicle data. Standardize ingestion, validation, and cleaning; automate data-quality checks; manage schemas; and monitor and optimize Spark jobs. The role requires close collaboration with machine learning and data science teams, distributed-systems expertise, and attention to security and privacy.